7 papers
Beyond FLOPs: Energy-Aware Knowledge Distillation for Sustainable LLMs on Code-Related Task
Enrique Barba Roque, Luís Cruz, Annibale Panichella
Background: Large Language Models (LLMs) are increasingly being applied to Software Engineering (SE) tasks, achieving high accuracy across problems such as clone detection, vulnera…
Systematic Detection of Energy Regression and Corresponding Code Patterns in Java Projects
François Bechet, Jérôme Maquoi, LuÃs Cruz +2
Green software engineering is emerging as a crucial response to information technology's rising energy impact, especially in continuous development. However, there remain challenge…
Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes
Lorena Poenaru-Olaru, Wouter van 't Hof, Adrian Stando +5
Capacity management is critical for software organizations to allocate resources effectively and meet operational demands. An important step in capacity management is predicting fu…
Green AI in Action: Strategic Model Selection for Ensembles in Production
Nienke Nijkamp, June Sallou, Niels van der Heijden +1
Integrating Artificial Intelligence (AI) into software systems has significantly enhanced their capabilities while escalating energy demands. Ensemble learning, combining predictio…
Energy Aware Development of Neuromorphic Implantables: From Metrics to Action
Enrique Barba Roque, Luis Cruz
Spiking Neural Networks (SNNs) and neuromorphic computing present a promising alternative to traditional Artificial Neural Networks (ANNs) by significantly improving energy efficie…
On the Effectiveness of the 'Follow-the-Sun' Strategy in Mitigating the Carbon Footprint of AI in Cloud Instances
Roberto Vergallo, LuÃs Cruz, Alessio Errico +1
'Follow-the-Sun' (FtS) is a theoretical computational model aimed at minimizing the carbon footprint of computer workloads. It involves dynamically moving workloads to regions with…